{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "StockPricePredictior.ipynb",
      "provenance": [],
      "toc_visible": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "C3PAPAzxoeCu"
      },
      "source": [
        "# **Stock Price Prediction Using LSTM**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "5V5FtPwWol6v"
      },
      "source": [
        "We would predicting the stock price of stock \"SBIN\" using LSTM . We would intially train the data that we will be importing using library function and then , try to predict price for that particular stock."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YrETQ2-Mpfm2"
      },
      "source": [
        "#Importing all the required library files\r\n",
        "import matplotlib.pyplot as plt\r\n",
        "from sklearn import model_selection\r\n",
        "from sklearn.metrics import confusion_matrix\r\n",
        "from sklearn.metrics import mean_squared_error\r\n",
        "from sklearn.metrics import mean_absolute_error\r\n",
        "from sklearn.metrics import r2_score\r\n",
        "from sklearn.preprocessing import StandardScaler\r\n",
        "from sklearn.model_selection import train_test_split\r\n",
        "import numpy as np\r\n",
        "import pandas as pd\r\n",
        "from sklearn.preprocessing import MinMaxScaler\r\n",
        "from keras.models import Sequential\r\n",
        "from keras.layers import Dense\r\n",
        "from keras.layers import LSTM\r\n",
        "from keras.layers import Dropout"
      ],
      "execution_count": 105,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 197
        },
        "id": "sR3bZGHWx2Hk",
        "outputId": "1c79cd25-fe0a-48f5-9c46-2a2e2ceb2f6e"
      },
      "source": [
        "#Importing training data from dataset\r\n",
        "stk_data=pd.read_csv('/content/Traindata_SBI.csv')\r\n",
        "stk_data.head()"
      ],
      "execution_count": 106,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Date</th>\n",
              "      <th>Open</th>\n",
              "      <th>High</th>\n",
              "      <th>Low</th>\n",
              "      <th>Close</th>\n",
              "      <th>Adj Close</th>\n",
              "      <th>Volume</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>01-01-2013</td>\n",
              "      <td>240.490005</td>\n",
              "      <td>243.404999</td>\n",
              "      <td>239.755005</td>\n",
              "      <td>242.645004</td>\n",
              "      <td>162.694351</td>\n",
              "      <td>17202300.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>02-01-2013</td>\n",
              "      <td>245.000000</td>\n",
              "      <td>246.399994</td>\n",
              "      <td>243.815002</td>\n",
              "      <td>245.054993</td>\n",
              "      <td>164.310226</td>\n",
              "      <td>14660120.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>03-01-2013</td>\n",
              "      <td>246.000000</td>\n",
              "      <td>248.240005</td>\n",
              "      <td>243.619995</td>\n",
              "      <td>247.160004</td>\n",
              "      <td>165.721664</td>\n",
              "      <td>20103090.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>04-01-2013</td>\n",
              "      <td>246.000000</td>\n",
              "      <td>249.294998</td>\n",
              "      <td>245.065002</td>\n",
              "      <td>248.669998</td>\n",
              "      <td>166.734131</td>\n",
              "      <td>13705950.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>07-01-2013</td>\n",
              "      <td>249.000000</td>\n",
              "      <td>249.899994</td>\n",
              "      <td>246.175003</td>\n",
              "      <td>246.759995</td>\n",
              "      <td>165.453461</td>\n",
              "      <td>10264490.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "         Date        Open        High  ...       Close   Adj Close      Volume\n",
              "0  01-01-2013  240.490005  243.404999  ...  242.645004  162.694351  17202300.0\n",
              "1  02-01-2013  245.000000  246.399994  ...  245.054993  164.310226  14660120.0\n",
              "2  03-01-2013  246.000000  248.240005  ...  247.160004  165.721664  20103090.0\n",
              "3  04-01-2013  246.000000  249.294998  ...  248.669998  166.734131  13705950.0\n",
              "4  07-01-2013  249.000000  249.899994  ...  246.759995  165.453461  10264490.0\n",
              "\n",
              "[5 rows x 7 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 106
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 838
        },
        "id": "jyHj2HURCiSx",
        "outputId": "6b3cb473-c241-49ec-bbe9-e8257550583a"
      },
      "source": [
        "#Visualising the above dataset\r\n",
        "plt.figure(figsize=(14,14))\r\n",
        "plt.plot(stk_data['Close'])\r\n",
        "plt.title('Historical Stock Data')\r\n",
        "plt.xlabel('Date')\r\n",
        "plt.ylabel('Stock Price')\r\n",
        "plt.show()"
      ],
      "execution_count": 107,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1008x1008 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8JbvERQqHUTv",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "dba9b517-8ace-45a4-ec07-4e1feec9a82b"
      },
      "source": [
        "#Dropping of unneccessary columns in dataframe\r\n",
        "stk_data['Date'] = stk_data.index\r\n",
        "stk_data=stk_data.drop(['Adj Close','Volume'],axis=1)\r\n",
        "\r\n",
        "#Determining the number of NAN values in dataframe\r\n",
        "stk_data.isnull().sum()"
      ],
      "execution_count": 108,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Date     0\n",
              "Open     2\n",
              "High     2\n",
              "Low      2\n",
              "Close    2\n",
              "dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 108
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5FIuNB7bzgl4",
        "outputId": "92ab8c5c-336c-4e98-c0e9-17f71b195d2f"
      },
      "source": [
        "#Replacing the nan values with mean of their respective column\r\n",
        "item_list=['Open','High','Low','Close']\r\n",
        "for item in item_list:\r\n",
        "  stk_data[item]=stk_data[item].fillna(stk_data[item].mean())\r\n",
        "\r\n",
        "stk_data.isnull().sum()\r\n"
      ],
      "execution_count": 109,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Date     0\n",
              "Open     0\n",
              "High     0\n",
              "Low      0\n",
              "Close    0\n",
              "dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 109
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "t-y_8t9RKDDb"
      },
      "source": [
        "#Preprocessing of data for LSTM model\r\n",
        "train_set=stk_data.iloc[:,1:2].values\r\n",
        "sc=MinMaxScaler(feature_range=(0,1))\r\n",
        "training_set_scaled=sc.fit_transform(train_set)\r\n",
        "X_train=[]\r\n",
        "y_train=[]\r\n",
        "for i in range(60,1478):\r\n",
        "  X_train.append(training_set_scaled[i-60:i,0])\r\n",
        "  y_train.append(training_set_scaled[i,0])\r\n",
        "\r\n",
        "X_train,y_train=np.array(X_train),np.array(y_train)\r\n",
        "X_train=np.reshape(X_train,(X_train.shape[0],X_train.shape[1],1))"
      ],
      "execution_count": 110,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PiWfc4GEN2pi"
      },
      "source": [
        "#Defining the LSTM model\r\n",
        "regressor = Sequential()\r\n",
        "regressor.add(LSTM(units = 50, return_sequences = True, input_shape = (X_train.shape[1], 1)))\r\n",
        "regressor.add(Dropout(0.2))\r\n",
        "regressor.add(LSTM(units = 50, return_sequences = True))\r\n",
        "regressor.add(Dropout(0.2))\r\n",
        "regressor.add(LSTM(units = 50, return_sequences = True))\r\n",
        "regressor.add(Dropout(0.2))\r\n",
        "regressor.add(LSTM(units = 50))\r\n",
        "regressor.add(Dropout(0.2))\r\n",
        "regressor.add(Dense(units = 1))"
      ],
      "execution_count": 111,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "opy4j8myPszG",
        "outputId": "782acbf1-ab78-45a6-dc2b-23bc9697c24e"
      },
      "source": [
        "#Training the LSTM model for the given dataset\r\n",
        "regressor.compile(optimizer='adam',loss='mean_squared_error')\r\n",
        "regressor.fit(X_train,y_train,epochs=20,batch_size=24)"
      ],
      "execution_count": 112,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Epoch 1/20\n",
            "60/60 [==============================] - 5s 86ms/step - loss: 0.0320\n",
            "Epoch 2/20\n",
            "60/60 [==============================] - 5s 91ms/step - loss: 0.0098\n",
            "Epoch 3/20\n",
            "60/60 [==============================] - 6s 92ms/step - loss: 0.0086\n",
            "Epoch 4/20\n",
            "60/60 [==============================] - 5s 91ms/step - loss: 0.0087\n",
            "Epoch 5/20\n",
            "60/60 [==============================] - 5s 91ms/step - loss: 0.0069\n",
            "Epoch 6/20\n",
            "60/60 [==============================] - 6s 92ms/step - loss: 0.0076\n",
            "Epoch 7/20\n",
            "60/60 [==============================] - 5s 91ms/step - loss: 0.0066\n",
            "Epoch 8/20\n",
            "60/60 [==============================] - 6s 92ms/step - loss: 0.0061\n",
            "Epoch 9/20\n",
            "60/60 [==============================] - 6s 92ms/step - loss: 0.0061\n",
            "Epoch 10/20\n",
            "60/60 [==============================] - 6s 93ms/step - loss: 0.0057\n",
            "Epoch 11/20\n",
            "60/60 [==============================] - 6s 92ms/step - loss: 0.0055\n",
            "Epoch 12/20\n",
            "60/60 [==============================] - 6s 92ms/step - loss: 0.0057\n",
            "Epoch 13/20\n",
            "60/60 [==============================] - 5s 92ms/step - loss: 0.0058\n",
            "Epoch 14/20\n",
            "60/60 [==============================] - 5s 92ms/step - loss: 0.0049\n",
            "Epoch 15/20\n",
            "60/60 [==============================] - 5s 91ms/step - loss: 0.0050\n",
            "Epoch 16/20\n",
            "60/60 [==============================] - 6s 92ms/step - loss: 0.0053\n",
            "Epoch 17/20\n",
            "60/60 [==============================] - 5s 91ms/step - loss: 0.0048\n",
            "Epoch 18/20\n",
            "60/60 [==============================] - 6s 93ms/step - loss: 0.0049\n",
            "Epoch 19/20\n",
            "60/60 [==============================] - 6s 92ms/step - loss: 0.0042\n",
            "Epoch 20/20\n",
            "60/60 [==============================] - 6s 92ms/step - loss: 0.0044\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<tensorflow.python.keras.callbacks.History at 0x7fb404cb2630>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 112
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MNvaa5CeROkY",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "41c83dab-d516-4869-f3b5-85e23b08ba2e"
      },
      "source": [
        "#Importing data for testing purpose\r\n",
        "testdataframe=pd.read_csv('/content/Testdata_SBI.csv')\r\n",
        "testdataframe['Date'] = testdataframe.index\r\n",
        "\r\n",
        "#Dropping unnecesaary column from dataframe\r\n",
        "testdataframe=testdataframe.drop(['Adj Close','Volume'],axis=1)\r\n",
        "\r\n",
        "#Determining nan values in testdataframe\r\n",
        "testdataframe.isnull().sum()"
      ],
      "execution_count": 113,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Date     0\n",
              "Open     1\n",
              "High     1\n",
              "Low      1\n",
              "Close    1\n",
              "dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 113
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ByTLHXZlBl0n",
        "outputId": "0d71aa10-39df-4fff-ef6b-42c8325a621c"
      },
      "source": [
        "#Replacing the nan values with mean of their respective columns\r\n",
        "item_list=['Open','High','Low','Close']\r\n",
        "for item in item_list:\r\n",
        "  testdataframe[item]=testdataframe[item].fillna(testdataframe[item].mean())\r\n",
        "\r\n",
        "testdataframe.isnull().sum()\r\n"
      ],
      "execution_count": 114,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Date     0\n",
              "Open     0\n",
              "High     0\n",
              "Low      0\n",
              "Close    0\n",
              "dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 114
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fazha00bAtyk"
      },
      "source": [
        "#Determining X_test and y_test using testdataframe\r\n",
        "real_stock_price = testdataframe.iloc[:, 1:2].values[:175]\r\n",
        "dataset_total = pd.concat((data2['Open'], testdata['Open']), axis = 0)\r\n",
        "inputs = dataset_total[len(dataset_total) - len(testdata) - 60:].values\r\n",
        "inputs = inputs.reshape(-1,1)\r\n",
        "inputs = sc.transform(inputs)\r\n",
        "X_test = []\r\n",
        "for i in range(60, 235):\r\n",
        "    X_test.append(inputs[i-60:i, 0])\r\n",
        "X_test = np.array(X_test)\r\n",
        "X_test = np.reshape(X_test, (X_test.shape[0], X_test.shape[1], 1))"
      ],
      "execution_count": 115,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XZi9m2UbSK_j"
      },
      "source": [
        "#Predicting the stock prices using the above trained model\r\n",
        "predicted_stock_price = regressor.predict(X_test)\r\n",
        "predicted_stock_price = sc.inverse_transform(predicted_stock_price)"
      ],
      "execution_count": 116,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xDi2lsXBHebY",
        "outputId": "50a2ed2e-ec9c-4f74-bc28-d0b463ef97dd"
      },
      "source": [
        "#Determining metrics for the given model\r\n",
        "\r\n",
        "#Mean Squared Error for given LSTM model\r\n",
        "mse=mean_squared_error(real_stock_price,predicted_stock_price)\r\n",
        "print(\"Mean Squared Error for given LSTM model:\",mse)\r\n",
        "\r\n",
        "#Mean Absolute Error for given LSTM model\r\n",
        "mae=mean_absolute_error(real_stock_price,predicted_stock_price)\r\n",
        "print(\"Mean Absolute Error for given LSTM model:\",mae)\r\n",
        "\r\n",
        "#R-squared Error for given LSTM model\r\n",
        "r2=r2_score(real_stock_price,predicted_stock_price)\r\n",
        "print(\"R-Squared Error for given LSTM model:\",r2)\r\n",
        "\r\n",
        "#Root Mean Squared Error for given LSTM model\r\n",
        "rmse=mse**0.5\r\n",
        "print(\"Root Mean Squared Error for given LSTM model:\",rmse)\r\n"
      ],
      "execution_count": 117,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Mean Squared Error for given LSTM model: 113.943355922489\n",
            "Mean Absolute Error for given LSTM model: 8.263102854140625\n",
            "R-Squared Error for given LSTM model: 0.8758910977345263\n",
            "Root Mean Squared Error for given LSTM model: 10.674425320479271\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 583
        },
        "id": "n8e4GLQSSRhU",
        "outputId": "f6c9a8dd-0212-4b48-ebf5-f72c11a874e4"
      },
      "source": [
        "#Plotting of Real stock price along with predicted stock price\r\n",
        "plt.figure(figsize=(20,10))\r\n",
        "plt.plot(real_stock_price, color = 'green', label = 'SBI Stock Price')\r\n",
        "plt.plot(predicted_stock_price, color = 'red', label = 'Predicted SBI Stock Price')\r\n",
        "plt.title('SBI Stock Price Prediction')\r\n",
        "plt.xlabel('Trading Day')\r\n",
        "plt.ylabel('SBI Stock Price')\r\n",
        "plt.legend()\r\n",
        "plt.show()"
      ],
      "execution_count": 118,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    }
  ]
}